ASN's Mission

ASN leads the fight to prevent, treat, and cure kidney diseases throughout the world by educating health professionals and scientists, advancing research and innovation, communicating new knowledge, and advocating for the highest quality care for patients.

learn more

Contact ASN

1401 H St, NW, Ste 900, Washington, DC 20005

email@asn-online.org

202-640-4660

The Latest on Twitter

Kidney Week

Abstract: PO0960

The Aging Kidney: Renal Parenchymal Volumes from MRI, a Comparison Between Type 2 Diabetes and Non-Type 2 Diabetes in 37,450 UK Biobank Participants

Session Information

Category: Diabetic Kidney Disease

  • 602 Diabetic Kidney Disease: Clinical

Authors

  • Johansson, Lars, Antaros Medical, Mölndal, Sweden
  • Langner, Taro, Uppsala University, Department of Surgical Sciences, Radiology, Uppsala, Sweden
  • Hockings, Paul, Antaros Medical, Mölndal, Sweden
  • Jarl, Lisa, Antaros Medical, Mölndal, Sweden
  • Maldonis, Lukas, Antaros Medical, Mölndal, Sweden
  • Fall, Tove, Uppsala universitetet Institutionen for medicinsk biokemi och mikrobiologi, Uppsala, Sweden
  • Ahlström, Håkan, Uppsala University, Department of Surgical Sciences, Radiology, Uppsala, Sweden
  • Kullberg, Joel, Uppsala University, Department of Surgical Sciences, Radiology, Uppsala, Sweden
Background

It is well known that Type 2 Diabetes (T2D) early on is associated with increased kidney volumes but also can cause Diabetic Nephropathy. UK Biobank (UKB) is a large-scale cross-sectional study aiming to examine 100,000 subjects aged 44 to 82 years using Magnetic Resonance Imaging (MRI). Resulting images allow measurements of Kidney Parenchyma Volume (KPV). The purpose of this study was therefore to quantify KPV and investigate the association with age in T2D and non-T2D subjects.

Methods

An automated deep learning-based method for direct KPV segmentations and measurements was developed and validated and applied to UKB MRI in 37,450 subjects. KPV was analyzed as a function of diagnosed T2D (defined as diagnosis of diabetes after 40 y/o), sex and age. Furthermore, correction for lean tissue volumes assessed by MRI was performed in all subjects.

Results

KPVs from 37,450 subjects (47.6% males) as a function of T2D, sex and age are shown in Fig1. In non-T2D a steady decline in KPV is seen in both males and females. KPV is significantly larger in T2D subjects (1126 males, 530 females), over 50 years of age compared to non-T2D. This is followed by a faster KPV decline in T2D compared to non-T2D subjects. Adjusting for lean tissue volumes from MRI did not change the difference in decline rates between T2D and non-T2D subjects.

Conclusion

T2D subjects have a larger KPV than non-T2D in middle aged subjects but show a faster KPV decline, independent of lean tissue volume differences. The faster decline in T2D can potentially be explained by increased hyperfiltration and oxidative stress in T2D.

Total KPV as a function of T2D, sex and age. Mean values and 95% confidence intervals are shown from a sliding window of 7 years.

Funding

  • Private Foundation Support